Welcome to the AI for climate action hub! This repository provides a collection of resources related to AI and climate action, including datasets, models, publications, and tools. Our goal is to support and advance research in the intersection of artificial intelligence and environmental sustainability.
Discover a range of datasets focused on climate change, environmental monitoring, and more. For the latest datasets, please refer to public/datasets.yml.
Explore AI models designed to address climate action challenges:
- Aurora: An atmospheric model for weather forecasting. Learn more
- Pangu-Weather: A medium-range weather forecasting model. Learn more
Access key papers and reports in the field:
- PCT-CycleGAN: Radar-based precipitation nowcasting. Read more
- TIP-GAN: Discovery of climate tipping points. Read more
Utilize tools for AI and climate action projects:
- Climate Prediction Toolkit: Tools for climate modeling. Explore
- Virtual Earth System Laboratory: Real-time simulations of earth processes. Discover
To set up and run the development environment, use the following commands:
- Install Dependencies:
npm install
- IRun Development Server:
npm run dev
We welcome contributions to improve this repository. For guidelines on how to contribute, please see CONTRIBUTING.md.
This project is licensed under the MIT License.
For any questions or support, please contact us at [email protected].
Note: To add new datasets,models,publications and tools please update the public/datasets.yml file accordingly.